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Direct linkSorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
Download full textHerrera, Sarah; Zhou, Chengfu; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2017
The 2001 authorization of the No Child Left Behind Act and its standards and accountability requirements generated interest among state education agencies in Florida, Mississippi, and North Carolina, which are served by the Regional Educational Laboratory Southeast, in monitoring changes in student reading and math proficiency at the school level.…
Descriptors: Reading Achievement, Mathematics Achievement, Trend Analysis, Achievement Gap
National Center for Education Statistics, 2011
Representative samples of fourth- and eighth-grade public school students from 21 urban districts participated in the 2011 National Assessment of Educational Progress (NAEP) in reading. Eighteen of the districts participating in the 2011 NAEP Trial Urban District Assessment (TUDA) participated in earlier assessment years, while three districts…
Descriptors: Achievement Gap, Comparative Analysis, Disabilities, Educational Assessment
Herman, Rebecca; Huberman, Mette – Society for Research on Educational Effectiveness, 2012
The TALPS study aims to build on the existing research base to develop promising methodologies to identify chronically low-performing and turnaround schools, as well as to identify promising strategies for turning around chronically low-performing schools. By looking specifically at schools identified as turnaround, in comparison to nonturnaround…
Descriptors: Policy Analysis, Educational Practices, Instructional Leadership, Accountability
Casserly, Michael; Price-Baugh, Ricki; Corcoran, Amanda; Lewis, Sharon; Uzzell, Renata; Simon, Candace; Heppen, Jessica; Leinwand, Steve; Salinger, Terry; de Mello, Victor Bandeira; Dogan, Enis; Novotny, Laura – Council of the Great City Schools, 2011
This report summarizes preliminary and exploratory research conducted by the Council of the Great City Schools and the American Institutes for Research on urban school systems participating in the Trial Urban District Assessment (TUDA) of the National Assessment of Educational Progress (NAEP). The study is one of the first large-scale analyses…
Descriptors: Urban Schools, School Districts, Public Schools, National Competency Tests
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
Willner, Lynn Shafer; Rivera, Charlene; Acosta, Barbara D. – George Washington University Center for Equity and Excellence in Education, 2007
This report presents findings from a study conducted by The George Washington University Center for Equity and Excellence in Education (GW-CEEE) under the sponsorship of the National Center for Educational Statistics (NCES). The purpose of the study is to describe and analyze school-based decision-making practices relevant to the inclusion and…
Descriptors: Testing Accommodations, Inclusion, English Language Learners, Decision Making
Nichols, Sharon L.; Glass, Gene V.; Berliner, David C. – Education Policy Research Unit, 2005
Under the federal No Child Left Behind Act of 2001 (NCLB), standardized test scores are the indicator used to hold schools and school districts accountable for student achievement. Each state is responsible for constructing an accountability system, attaching consequences--or stakes--for student performance. The theory of action implied by this…
Descriptors: High Stakes Tests, Standardized Tests, Academic Achievement, Federal Legislation
